Colombia vs Venezuela

Colombia vs Venezuela: Tropical nights

Tropical nights in 2014: 279.9 nights in Colombia and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 21.7 nights, or 1.08 times that in Colombia.

nights a year · CMIP6

Colombia vs Venezuela: Tropical nightsTropical nights in 2014: 279.9 nights in Colombia and 301.6 nights in Venezuela, in the CMIP6 climate models’ median run. In 2014 the value was higher in Venezuela, by 21.7 nights, or 1.08 times that in Colombia.
ColombiaVenezuelaCMIP6 model median (SSP2-4.5, middle of the road)models’ 10th–90th percentile

What the numbers say

  • Venezuela has been higher in every year both have figures for since 1950.
  • The CMIP6 model median (SSP2-4.5, middle of the road) puts Colombia at 297.4 nights and Venezuela at 345 nights in 2100.

Every year

nights a year · CMIP6

YearColombiaVenezuela
2014279.9301.6
2013279.8302
2012280.7303.7
2011280301.3
2010279.1300.3
2009279.3300
2008278.4298.4
2007277.3296.4
2006277.5296.8
2005277.7296.8
2004278.2299.4
2003277.5295.2
2002277.3296.3
2001278298.7
2000276.2292.3
1999274.6291.6
1998275.2291.4
1997274.4290.5
1996271.2286.8
1995271.3285.4
1994270.4282.3
1993268279.5
1992264.7274.7
1991273.9289.7
1990275.6291.4
1989271.9283.8
1988270.3284.2
1987271.8284.2
1986271.4284.4
1985268.4278.3
1984268.2279.8
1983265.1274.3
1982269.2280.8
1981272.1283.4
1980270.2280.5
1979269.3281.1
1978268.3278.7
1977269.6281.2
1976266.1276.6
1975261.6272.3
1974266.6277.7
1973269.9278.9
1972266.6275.9
1971265.7276.5
1970265.4275.6
1969266275.6
1968264.6273.2
1967261.7271.5
1966263.7273.1
1965263.2272.1
1964260.3270.3
1963254.8268.9
1962266.7276.8
1961267278.6
1960268.6279.9
1959265.5276.1
1958268280.9
1957267.4277.6
1956263.3275.1
1955267.7277.7
1954267.2277.5
1953267.9277.3
1952268.1278.4
1951267.2277.5
1950266.5275.8
CMIP6 model median (SSP2-4.5, middle of the road) · 2015–2100
YearColombiaVenezuela
2015280.4265.9–286.4306.4280.3–320.1
2016279.9267.9–285.6303.9282.3–316.9
2017281.7270.6–286.3308.5288.7–319.9
2018281.5271.8–286.3307.6289.9–320.7
2019281.1269.5–286.9306.7288.7–321.7
2020282.1270.6–287.9310.2287.9–323.6
2021283.2273.9–287.8311.3295.3–324.1
2022283.7273.6–288.5314.4295–326.3
2023282.6274.2–288.8311.5294.4–326.5
2024284.7274.7–289.8316298.2–327.4
2025283.5273.3–289.7313.8294.2–329.5
2026283.4272.7–289.7314290.3–329.4
2027283.9273.4–289.2315.6292.6–328.8
2028285275.1–290.7317.7296.4–332.1
2029285.8276–290.3319.3296.9–332
2030284.2273.4–289.8317.7295–328.5
2031285.8274.8–291.2320.1295.9–331.8
2032286.7278.3–292.6321.4304.7–335
2033285.7274.7–290.3320.6301.8–331.2
2034285275.8–292.8318.1298.1–335
2035285.9277.3–292319.3302.3–335.9
2036286276.9–291.6320.5305.3–332.3
2037287.5279.3–291.9324.1307.2–334.1
2038288279.7–292.4325.8309.6–336.2
2039287.6278.8–292.7324.3307.9–335.8
2040287.6279.3–294.5323.5307.5–338.7
2041288.2279.9–292.7325.3309.6–336.6
2042288.2278.3–295324.8305.5–341.2
2043287.7277.7–293.4324.2307.1–337.7
2044287.8278.5–295.1324.1306.3–339.8
2045288.8280.5–293.9327.5309.7–338.6
2046290.4281–295.5329.6310.8–340.5
2047289.9280.6–294.6329.5313.9–341.5
2048290.7281.4–296.8331.2313.7–342.8
2049290.9282–295.3332.3314.9–340.5
2050290.1280.8–296330.9311.8–343.6
2051290.6280.9–295.7330.7310.1–344
2052290.9281.9–296.7332.4316.6–343.5
2053290.5280.8–296.3330.6312.7–343.6
2054290.8281.3–297.2331.9313.8–344.6
2055291.1282.6–298333317–345.8
2056291.5281.5–298.6332.7313.1–347.7
2057291.5281.2–297.3334.2315.2–345.3
2058291.8281.7–298.9333.5314.3–346.2
2059292.8282–299.2335.6317.1–348.3
2060293.2283–300.1337.4319.4–349
2061292.2281.9–298.7335.3317.3–347.2
2062292.6282.4–299.7335.9315–348.4
2063293.6282.3–298.6338317.5–347.9
2064292.7282.9–299.1336.3319.9–347.5
2065293.8283.6–299.4336.8319.9–349
2066293.1283.4–299.8337.9320.9–349.1
2067292.9281.8–299.6337.5317.9–348.2
2068294.2282.5–300.6339.3317.4–349.4
2069292.9282.4–300336.5318.1–349
2070292.9282.8–300.8336.4319.5–349.1
2071294.2282.8–301.5338.9319.1–349.1
2072294.9285.1–301.9340321.8–350.6
2073294.9285.5–302.2340.3322.9–351.4
2074293.9283.3–300.3338.9319.1–349.5
2075294.1283.2–300.6339.5318.1–349.2
2076294.9284.6–302339.8322.6–350.2
2077295.3284.3–301.9340.3322.1–351
2078294.4285–302340.2323–351
2079294.8283.7–301.8340.1320.9–351.4
2080295.1283.4–302.8341.4320.2–351.6
2081295.1284.8–302.6340.7322.5–351.3
2082295.1284.9–301.3341.6323.9–350.1
2083295.4284.5–304.6341.7323.3–353
2084296285.1–304.4343.3321.3–352.4
2085296.6285–305344.7322.8–353.5
2086295.6284.8–303.6341.4322.6–352.2
2087295.3284.1–303.4342.5322.4–352.2
2088295.9284.5–305.5342.9322.8–353.6
2089295.6285–304.5342.3324.8–353.1
2090295.7285.8–304.6341.9325.2–352.9
2091297285–304.9344.3323.4–353.3
2092296.8286–305.7344.3324.9–354.2
2093296.3285.6–305.3343324.8–353.6
2094296.4285.8–305343.9326.6–352.8
2095297.9285.6–304.9345.4325.4–354.5
2096296285.9–307.5343.7326–355.2
2097296.5284.8–303.4343.5324.6–351.9
2098296.6286–307.3344.5326.1–354.4
2099297284.6–305.4344.6324.8–353.8
2100297.4286.5–305.2345328.4–353.9

Each country on its own

Good to know

  • Nights in a year when the temperature stays above 20 °C, averaged over the country.
  • Source: World Bank Climate Change Knowledge Portal, CMIP6 multi-model median.
  • The dashed line is the CMIP6 model median (SSP2-4.5, middle of the road), a scenario rather than a forecast; the band is its models’ 10th–90th percentile.
  • Climate model values are the median of the CMIP6 models, run on past emissions to 2014 and on SSP2-4.5, a middle-of-the-road path, after: they are not measurements.

How the layers work, where their data comes from and what they can’t tell you: Countries through time

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